Diabetes care management patterns before and after a cancer diagnosis: A SEER-Medicare matched cohort study

Team complexity and care coordination for cancer survivors with multiple chronic conditions: a mixed methods study

PURPOSE

Little is known about the perceptions and experiences of care received from healthcare teams among cancer survivors with multiple chronic conditions (MCCs).

METHODS

Cancer survivors completed an online survey (N=441) of which 12 participated in an interview. Team complexity was operationalized based on team size, clinician specialties, and health system affiliation. Kilpatrick's Patient-Perceptions of Team Effectiveness (PTE) questionnaire measured team effectiveness. Constant comparative method was used to identify care coordination challenges and facilitators from interviews.

RESULTS

Mean age at cancer diagnosis was 45 years (SD=14), 68% were 5 years from diagnosis, the most common cancer was breast (27%), and two-thirds had two or more pre-diagnosis comorbidities. Sixty percent rated both cancer and other condition(s) as taking priority. Team complexity varied from low (32%), moderate (49%), and high (20%). Eighty percent rated PTE overall as high, with variation by subscales: coordination (85%) and patient-family focus (47%). Higher team complexity was associated with lower PTE overall (p=0.049). Challenges were identified: sequential referrals with no integration across team members; no shared mental model among team; and cancer survivor having to "referee" conflicting care decisions.

CONCLUSION

This mixed method study found an inverse relationship between team complexity and PTE-overall, where high-complexity teams had lower team effectiveness. Participants reported issues with the problem-solving abilities of their teams and felt like their contributions were not valued by their care team.

IMPLICATIONS FOR CANCER SURVIVORS

Improving team effectiveness offers one way to leverage the expertise of multiple specialties to deliver integrated, patient-centered care for the growing population of cancer survivors with MCC.

Glycemic control and cancer outcomes in oncologic patients with diabetes: an Italian Association of Medical Oncology (AIOM), Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Italian Society of Endocrinology (SIE), Italian Society of Pharmacology (SIF) multidisciplinary critical view

BACKGROUND

 Increasing evidence suggests that diabetes increases the risk of developing different types of cancer. Hyperinsulinemia, hyperglycemia and chronic inflammation, characteristic of diabetes, could represent possible mechanisms involved in cancer development in diabetic patients. At the same time, cancer increases the risk of developing new-onset diabetes, mainly caused by the use of specific anticancer therapies. Of note, diabetes has been associated with a ∼10% increase in mortality for all cancers in comparison with subjects who did not have diabetes. Diabetes is associated with a worse prognosis in patients with cancer, and more recent findings suggest a key role for poor glycemic control in this regard. Nevertheless, the association between glycemic control and cancer outcomes in oncologic patients with diabetes remains unsettled and poorly debated.

PURPOSE

 The current review seeks to summarize the available evidence on the effect of glycemic control on cancer outcomes, as well as on the possibility that timely treatment of hyperglycemia and improved glycemic control in patients with cancer and diabetes may favorably affect cancer outcomes.

Racial and Ethnic Differences in Diabetes Care Quality in A National Sample of Cancer Survivors Relative to Non-Cancer Controls

BACKGROUND

Among cancer survivors, diabetes is associated with greater morbidity and mortality. The objective of this study is to describe racial/ethnic disparities in diabetes care quality (DCQ) among cancer survivors compared to non-cancer controls.

METHODS

We used Medical Expenditure Panel Survey Household Component data (2010-2018). Black, non-Hispanic White (NHW), and Hispanic respondents diagnosed with diabetes and cancer were frequency matched 1:5 to non-cancer controls. Multivariable logistic regression estimated associations for specific indices and overall DCQ by race/ethnicity stratified by cancer site/status in partially adjusted (not controlling for socioeconomic indicators) and fully adjusted models.

RESULTS

The final sample of 4775 included cancer survivors (n = 907 all cancers; n = 401 breast; n = 167 colon; n = 339 prostate) and non-cancer controls (n = 3868) matched by age, race/ethnicity, and year. In partially adjusted models, Black (adjusted odds ratio, AOR) 0.67 [95% CI 0.54-0.83]) and Hispanic (AOR 0.68 [95% CI 0.54-0.87]) non-cancer controls had significant disparities for overall DCQ compared to NHWs. Among cancer survivors, DCQ disparities for Black (AOR 0.62, [95% CI 0.4-0.96]) and Hispanics (AOR 0.60, [95% CI 0.38-0.97]) were identified. Among prostate cancer survivors, DCQ disparities were identified for Blacks (AOR 0.38; [95% CI 0.20-0.72]) and Hispanics (AOR 0.39; [95% CI 0.17-0.89]) compared to NHWs. Racial disparities among Black controls and Black prostate cancer survivors remained significant in fully adjusted models.

CONCLUSION

Diabetes care disparities are evident among cancer survivors and salient among non-cancer controls. Strategies to promote health equity should target specific care indices among survivors and emphasize equitable DCQ strategies among Black and Hispanic communities.

"Should I Prioritize My Cancer or My Diabetes?": Patient-Perceived Barriers to Co-Managing Cancer and Diabetes Mellitus

Among patients with cancer, diabetes mellitus (DM) is a prevalent comorbid condition. With an aging population and an increase in the prevalence of cancer and DM, the number of cancer patients with DM will rise. To date, studies have largely focused on understanding the context of cancer and DM co-management from the perspectives of oncology and primary care providers. To better understand the potential barriers to optimal cancer and DM co-management, we conducted 17 semi-structured interviews with DM patients receiving cancer care at New York-Presbyterian Weill Cornell Medical Center outpatient oncology clinics in New York, NY. In total, 53% patients were female, 35% were non-White, and the mean age was 64.75 (SD 11.10) years. We qualitatively analyzed our data and identified the following nine themes: (1) patients develop DM during or after cancer treatment; (2) patients do not know about the possible interactions between DM and cancer treatment; (3) cancer care is prioritized over DM management; (4) severity of DM symptoms drive patients' DM self-management during cancer care; (5) impact of cancer treatment on quality of life; (6) demands from cancer care make DM management more difficult; (7) patients want individualized treatment plans that integrate DM and cancer co-management; (8) need for greater patient activation; (9) lack of patient-centered educational resources on DM management during cancer care. Owing to these results, our findings highlight the need to increase patient engagement by developing and disseminating patient-centered educational resources on cancer and DM to improve self-management practices and patient outcomes.

Are Guideline-concordant Processes of Care Consistent Across the Rural-Urban Continuum? A Retrospective Cohort Study of Adults Newly Treated for Type 2 Diabetes

OBJECTIVES

Our aim in this study was to identify the association between place of residence (metropolitan, urban, rural) and guideline-concordant processes of care in the first year of type 2 diabetes management.

METHODS

We conducted a retrospective cohort study of new metformin users between April 2015 and March 2020 in Alberta, Canada. Outcomes were identified as guideline-concordant processes of care through the review of clinical practice guidelines and published literature. Using multivariable logistic regression, the following outcomes were examined by place of residence: dispensation of a statin, angiotensin-converting enzyme inhibitor (ACEi) or angiotensin II receptor blocker (ARB), eye examination, glycated hemoglobin (A1C), cholesterol, and kidney function testing.

RESULTS

Of 60,222 new metformin users, 67% resided in a metropolitan area, 10% in an urban area, and 23% in a rural area. After confounder adjustment, rural residents were less likely to have a statin dispensed (adjusted odds ratio [aOR] 0.83, 95% confidence interval [CI] 0.79 to 0.87) or undergo cholesterol testing (aOR 0.86, 95% CI 0.83 to 0.90) when compared with metropolitan residents. In contrast, rural residents were more likely to receive A1C and kidney function testing (aOR 1.14, 95% CI 1.08 to 1.21 and aOR 1.17, 95% CI 1.11 to 1.24, respectively). ACEi/ARB use and eye examinations were similar across place of residence.

CONCLUSIONS

Processes of care varied by place of residence. Limited cholesterol management in rural areas is concerning because this may lead to increased cardiovascular outcomes.

Body Mass Index is related to short-term retinal worsening in type 2 diabetes mellitus patients treated with anticancer drugs

BACKGROUND

In cancer patients with diabetes, anticancer drugs (ADs) may negatively affect the course of diabetes vascular complications. The short-term effects of ADs on type 2 diabetes (T2DM) retinopathy are poorly known. This study evaluated the short-term effects of different classes of ADs on diabetic retinopathy (DR) and clinical risk factors for retinal worsening (RW) in cancer patients affected by T2DM.

METHODS

Retrospective single-center study evaluating 168 patients with T2DM and cancer. The diagnosis of T2DM preceded those of cancer in all patients. We evaluated the retinal short-term effects within the six months after the first-line ADs treatment.

RESULTS

After ADs, 6% of patients had a short-term RW. BMI is positively associated with the risk of RW (OR 1.45, 95% confidence interval: 1.1-1.9, P<0.005). Patients treated with alkylating agents and topoisomerase inhibitors have an increased risk of RW (P=0.049 and P=0.057, respectively) and a significantly higher HDL level (P<0.01).

CONCLUSIONS

To our knowledge, this study is the first investigating the short-term impact of ADs on DR of T2DM patients. Moreover, we provide information arose from a real-world setting. As confirmed by other studies, these findings could help to identify patients at risk for short-term RW, who should be promptly referred to the ophthalmologist for the prevention of visual impairment.

Non cancer causes of death after gallbladder cancer diagnosis: a population-based analysis

Mortality from non cancer causes in patients with gallbladder cancer (GBC) still unclear. This study evaluated the causes and risk factors of non cancer death during different follow-up periods after GBC diagnosis. Non cancer causes of death for GBC patients diagnosed between 2000 and 2017 in Surveillance, Epidemiology and End Results database were analyzed and standardized mortality rates (SMR) for each non cancer death were calculated. Predictors for non cancer death were identified through multivariate competing risk analysis. A total 11,927 GBC patients were identified for further analysis, 9393 died during follow up. The largest proportion of non cancer deaths occurred > 3 years after diagnosis (39.4%). Most common non cancer cause were cardiovascular disease (43.3%), followed by other cause of death (34.4%) and infectious diseases (8.6%). Compared with US general population, GBC patients has higher risk of death from disease of heart (SMR, 1.58; 95%CI, 1.41-1.75), septicemia (SMR,3.21; 95%CI, 2.27-4.40), diabetes mellitus (SMR,1.97; 95%CI, 1.43-2.63), alone with other causes. Non cancer causes accounted for a significant proportion of deaths during the follow-up period after GBC diagnosis. The risk of non cancer death is higher in GBC patients than in the general population. Our study provides comprehensive assessment of death from non cancer cause in GBC patients, which has important implications for health management in GBC patients.

Assessing the Effect of Cancer Diagnosis on Beliefs about Comorbid Diabetes

OBJECTIVES

Increasingly, patients diagnosed with cancer also live with chronic comorbidities, and it is important to understand the impact of a new cancer diagnosis on perceptions about preexisting conditions. This study assessed the effect of cancer diagnosis on beliefs about comorbid diabetes mellitus and assessed changes in beliefs about cancer and diabetes over time.

DATA SOURCES

We recruited 75 patients with type 2 diabetes who were newly diagnosed with early-stage breast, prostate, lung, or colorectal cancer and 104 age-, sex-, and hemoglobin A1c-matched controls. Participants completed the Brief Illness Perception Questionnaire four times over 12 months. The authors examined within-patient and between-group differences in cancer and diabetes beliefs at baseline and over time.

RESULTS

Overall, diabetes beliefs did not differ between cancer patients and controls at baseline. Cancer patients' beliefs about diabetes varied significantly over time; they reported less concern about cancer, less emotional effect, and greater cancer knowledge over time. Participants without cancer were significantly more likely to report that diabetes affected their life across all time points, though this effect did not persist after adjustment for sociodemographic variables.

CONCLUSION

While all patients' diabetes beliefs were similar at baseline and 12 months, cancer patients' beliefs about both illnesses fluctuated during the months following cancer diagnosis.

IMPLICATIONS FOR NURSING PRACTICE

Oncology nurses can play a key role in recognizing the effects of cancer diagnosis on beliefs about comorbid conditions and fluctuations in these beliefs during treatment. Assessing and communicating patient beliefs between oncology and other practitioners could produce more effective care plans based on patients' current outlook on their health.

Impact of diabetes on stage I lung cancer treatment patterns and prognosis in older adults: A population-based cohort study

Background

Diabetes is a common comorbidity in patients with early-stage non-small cell lung cancer (NSCLC), a growing population due to increased LC screening. However, it is unknown if diabetes is associated with less aggressive NSCLC treatment and worse NSCLC outcomes. This study aimed to investigate treatment patterns and outcomes of older patients with Stage I NSCLC and diabetes.

Methods

Using national cancer registry data linked to Medicare, we identified patients ≥65 years old with Stage I NSCLC. Patients were categorized as having no diabetes, diabetes without severe complications (DM-c), or diabetes with ≥1 severe complication (DM + c). We used multinomial logistic regression to assess the association of diabetes and NSCLC treatment. The association of diabetes category with NSCLC and non-NSCLC survival was analyzed with Fine-Grey competing-risks regression.

Results

In 25,358 patients (75% no diabetes, 12% DM-c and 13% had DM + c), adjusted analyses showed that DM-c and DM + c were associated with increased odds of receiving limited resection rather than lobectomy (odds ratio [OR]: 1.22, 95% confidence interval [CI]: 1.07-1.37 and OR 1.42, 95% CI 1.26-1.59, respectively). Competing risk regression showed diabetes was associated with increased risk of non-NSCLC death (DM-c hazard ratio [HR] 1.16, 95% CI: 1.08-1.25, DM + c HR 1.49, 95% CI: 1.40-1.59), but not NSCLC-specific death.

Conclusion

This study uncovers critical information on how diabetes is associated with less aggressive early-stage NSCLC care in older patients. This study also confirms that diabetes increases death from non-lung cancer causes and managing comorbidities is crucial to improving outcomes in older early-stage NSCLC survivors.

Suboptimal Cardiology Follow-Up Among Patients With and Without Cancer Hospitalized for Heart Failure

Many patients hospitalized for heart failure (HF) do not receive recommended follow-up cardiology care, and non-White patients are less likely to receive follow-up than White patients. Poor HF management may be particularly problematic in patients with cancer because cardiovascular co-morbidity can delay cancer treatments. Therefore, we sought to describe outpatient cardiology care patterns in patients with cancer hospitalized for HF and to determine if receipt of follow-up varied by race/ethnicity. SEER (Surveillance, Epidemiology, and End Results) data from 2007 to 2013 linked to Medicare claims from 2006 to 2014 were used. We included patients aged 66+ years with breast, prostate, or colorectal cancer, and preexisting HF. Patients with cancer were matched to patients in a noncancer cohort that included individuals with HF and no cancer. The primary outcome was receipt of an outpatient, face-to-face cardiologist visit within 30 days of HF hospitalization. We compared follow-up rates between cancer and noncancer cohorts, and stratified analyses by race/ethnicity. A total of 2,356 patients with cancer and 2,362 patients without cancer were included. Overall, 43% of patients with cancer and 42% of patients without cancer received cardiologist follow-up (p = 0.30). After multivariable adjustment, White patients were 15% more likely to receive cardiology follow-up than Black patients (95% confidence interval [CI] 1.02 to 1.30). Black patients with cancer were 41% (95% CI 1.11 to 1.78) and Asian patients with cancer were 66% (95% CI 1.11 to 2.49) more likely to visit a cardiologist than their noncancer counterparts. In conclusion, less than half of patients with cancer hospitalized for HF received recommended follow-up with a cardiologist, and significant race-related differences in cardiology follow-up exist. Future studies should investigate the reasons for these differences.

Glycemic control in people with diabetes treated with cancer chemotherapy: contribution of continuous glucose monitoring

AIMS

The aim of our study was to assess, with Continuous Glucose Monitoring (CGM), exhaustive information on the glucose profile in people with diabetes starting chemotherapy. We also evaluated the adaptation of glucose-lowering drugs following analysis of CGM recordings.

METHODS

Eighty-five people with diabetes starting chemotherapy were included in the ONCODIAB study. A CGM was worn for up to fourteen days in blinded mode before and after the diabetologist's intervention to evaluate the impact of modifying the glucose-lowering drugs.

RESULTS

Time spent in range was 67.2 ± 24.2%. Time below the target glucose range (TBR) (< 70 mg/dl) was 8.9% in all the study population. TBR was significantly higher in patients treated with at least one drug due to the risk of hypoglycemia compared to the others (11.5% vs. 4.4%, p = 0.009). Sixty-five patients had available sensor data for the two recordings. Forty-one patients (51.9%) saw a decrease in their antidiabetic treatment after the diabetologist's intervention guided by the first CGM recording. We observed a significant reduction in the time spent below the target glucose range (70-55 mg/dl) between the two CGM recordings (10.3 ± 14.6% vs. 6.3 ± 9.4%, p = 0.016 and 3.8 ± 8.4% vs. 1.2 ± 2.9%, p = 0.012, respectively).

CONCLUSIONS

CGM use in blinded mode could be an interesting tool to reduce the risk of hypoglycemia in people with diabetes starting chemotherapy. Our findings fully support the recommendation that assessing hypoglycemia risk should be mandatory in patients with diabetes before starting chemotherapy.

Influence of Diabetes Mellitus on Oncological Outcomes for Patients Living With Cancer

PURPOSE

The purpose of this meta-analysis was to examine the association between preexisting diabetes in persons living with cancer on diabetes and oncology-related health outcomes. Understanding this association is of priority because the incidence of both cancer and diabetes mellitus is increasing worldwide.

METHODS

A comprehensive review of the literature was conducted in collaboration with an expert health sciences librarian. Two authors independently conducted the screening, data collection, and extraction processes. The risk of bias was assessed using several tools, depending on the study design. Relative risks with 95% confidence intervals were calculated. The alpha threshold was 0.05. All analyses were performed using R statistical software (Metaphor and Demeter packages).

RESULTS

A total of 45 studies met the selection criteria, but 23 were excluded from the synthesis because they did not have the ranked outcome or correct comparison (persons with and without diabetes), totaling 22 studies included in the meta-analysis. In comparison to participants without preexisting diabetes, participants with preexisting diabetes and cancer were found to have a significantly higher risk of infection and cardiovascular, neurological, gastrointestinal, hepatic, and renal complications. Concurrent preexisting diabetes and cancer were also associated with increased health care service utilization and length of hospital stay.

CONCLUSION

The findings from this review highlight the importance of optimal concurrent management of both diseases by overcoming the compartmentalization of medical specializations through (1) integrated, multidisciplinary, shared, and coordinated clinical care pathways between oncology and diabetes health care providers/teams and (2) the continued development of evidence-based clinical guidelines.

Hypertension, type 2 diabetes, obesity, and p53 mutations negatively correlate with metastatic colorectal cancer patients' survival

INTRODUCTION

We studied the predictive and prognostic influences of hypertension (HT), type 2 diabetes (T2D), weight, and p53 mutations in metastatic colorectal cancer (CRC) patients.

PATIENTS AND METHODS

T2D was diagnosed according to the ADA criteria. HT was classified according to the ACC/AHA guidelines. BMI (body-mass index) was calculated and classified according to the WHO criteria. TruSigt™Oncology 500 kit was applied to construct the genomic libraries for Next Generation Sequencing (NGS) analysis. The Illumina NovaSeq 6000 technological platform and the Illumina TruSight Oncology 500 bioinformatics pipeline were applied to analyze results. Overall survival (OS) was calculated through Kaplan-Meier curves. Univariate and multivariate analyses were performed to assess the relationships between clinical and/or molecular covariates. Associations between HT, T2D, BMI, p53, and clinical variables were evaluated by the χ2 test. P < 0.05 were considered statistically significant.

RESULTS

Two-hundred-forty-four patients were enrolled. One-hundred-twenty (49.2%), 110 (45.1%), and 50 (20.5%) patients were affected by overweight, HT, and T2D, respectively. DC (disease control) was achieved more frequently in patients without T2D (83.1%) compared to the diabetic ones (16.9%) (P = 0.0246). DC, KRAS mutational status, T2D, BMI, and concomitant presence of T2D, BMI, and HT associated with survival (P < 0.05). At multivariate analysis, age (≥65 vs. <65 years), response to first-line chemotherapy (DC vs. no DC), and concomitant presence of T2D, BMI, and HT (HR: 4.56; 95% CI: 2.40-8.67; P = 0.0217) emerged as independent prognostic variables. P53 was mutated in 31/53 analyzed cases (60.4%). The most frequent gene variants were p.Arg175His and p.Cys135Tyr. High BMI (>25 kg/m2) associated with occurrence of p53 mutations (P < 0.0001). P53 mutated patients presented a worse prognosis compared to the wild-type ones (HR: 3.21; 95% CI: 1.43-7.23; P = 0.0047).

CONCLUSION

Diabetic, hypertensive and overweight metastatic CRC patients are a negative prognostic subgroup deserving specific therapeutic strategies. P53 mutations associate with prognosis and BMI unrevealing complex and unexplored connections between metabolism and cancer occurrence.

Diabetes and cancer co-management: patient-reported challenges, needs, and priorities

INTRODUCTION

Twenty percent of breast cancer survivors have co-occurring diabetes and face a 50% greater risk of 10-year mortality compared to survivors without diabetes. Individuals with cancer are often overwhelmed during cancer treatment and have less time for their diabetes, contributing to worse outcomes. We elicited perspectives of breast cancer survivors with diabetes regarding their specific needs for diabetes and cancer co-management.

METHODS

We conducted semi-structured interviews with women with breast cancer aged 40 + years at three New York City hospitals from May 2021 to March 2022. Eligible participants had type 2 diabetes or pre-diabetes. Interviews were audio-recorded, professionally transcribed, and coded by two independent reviewers.

RESULTS

We conducted interviews with 15 females with breast cancer of mean age 61.5 years (SD 7.2); 70% were Black, Hispanic, or Asian/Pacific Islander, and 20% had only a high school education. Most (73%) patients were insured by Medicaid or Medicare, and 73% underwent chemotherapy as part of their cancer care. Of the 15 participants, 60% reported that their glucose levels were of control during cancer treatment and nearly 50% reported glucose levels > 200 mg/dL. We identified distinct themes that reflect patient-reported challenges (worse glucose control after initiation of cancer treatment, lack of information on co-managing diabetes, negative psychosocial effects, burden of diabetes management during cancer care) and needs/priorities (designated provider to help, educational resources specific to diabetes and cancer, and individualized care plans).

CONCLUSIONS

Patients co-managing diabetes and cancer face challenges and have unmet needs that should be addressed to improve diabetes control during cancer treatment. Our findings can directly inform interventions aimed at improving glucose control in this population.

Clinical Multiteam System Composition and Complexity Among Newly Diagnosed Early-Stage Breast, Colorectal, and Lung Cancer Patients With Multiple Chronic Conditions: A SEER-Medicare Analysis

PURPOSE

Sixty percent of adults have multiple chronic conditions at cancer diagnosis. These patients may require a multidisciplinary clinical team-of-teams, or a multiteam system (MTS), of high-complexity involving multiple specialists and primary care, who, ideally, coordinate clinical responsibilities, share information, and align clinical decisions to ensure comprehensive care needs are managed. However, insights examining MTS composition and complexity among individuals with cancer and comorbidities at diagnosis using US population-level data are limited.

METHODS

Using SEER-Medicare data (2006-2016), we identified newly diagnosed patients with breast, colorectal, or lung cancer who had a codiagnosis of cardiopulmonary disease and/or diabetes (n = 75,201). Zaccaro's theory-based classification of MTSs was used to categorize clinical MTS complexity in the 4 months following cancer diagnosis: high-complexity (≥ 4 clinicians from ≥ 2 specialties) and low-complexity (1-3 clinicians from 1-2 specialties). We describe the proportions of patients with different MTS compositions and quantify the incidence of high-complexity MTS care by patient groups.

RESULTS

The most common MTS composition was oncology with primary care (37%). Half (50.3%) received high-complexity MTS care. The incidence of high-complexity MTS care for non-Hispanic Black and Hispanic patients with cancer was 6.7% (95% CI, -8.0 to -5.3) and 4.7% (95% CI, -6.3 to -3.0) lower than non-Hispanic White patients with cancer; 13.1% (95% CI, -14.1 to -12.2) lower for rural residents compared with urban; 10.4% (95% CI, -11.2 to -9.5) lower for dual Medicaid-Medicare beneficiaries compared with Medicare-only; and 16.6% (95% CI, -17.5 to -15.8) lower for colorectal compared with breast cancer.

CONCLUSION

Incidence differences of high-complexity MTS care were observed among cancer patients with multiple chronic conditions from underserved populations. The results highlight the need to further understand the effects of and mechanisms through which care team composition, complexity, and functioning affect care quality and outcomes.

Impact of coexisting diabetes on survival and risk of developing second primary cancer in diabetes patients receiving drug therapy: A multicenter retrospective cohort study of patients with cancer in Japan

AIMS/INTRODUCTION

We investigated the association between coexisting diabetes at the time of cancer diagnosis, and the overall survival and incidence of second primary cancer in patients with cancer and receiving drug therapy for diabetes.

MATERIALS AND METHODS

We used cancer registry and administrative data of patients diagnosed with cancer at designated cancer care hospitals in Osaka Prefecture between 2010 and 2015. The presence of diabetes was identified from the prescription records of antidiabetic drugs in Diagnosis Procedure Combination System data. After adjusting for patient characteristics, we compared overall survival between patients with cancer with coexisting diabetes and those without coexisting diabetes using the Cox proportional hazards model. In addition, the impact of coexisting diabetes on the risk of developing second primary cancer was evaluated using a competing risk analysis.

RESULTS

Of the 131,701 patients with cancer included in the analysis, 6,135 (4.7%) had coexisting diabetes. The 5-year survival rates for patients with and without coexisting diabetes were 56.2% (95% confidence interval 54.8-57.6) and 72.7% (95% confidence interval 72.4-73.0), respectively. Coexisting diabetes was associated with a higher risk of developing second primary cancer (subdistribution hazard ratio 1.23; 95% confidence interval 1.08-1.41). In site-specific analysis, coexisting diabetes was associated with an increased risk for the development of second primary cancer of multiple myeloma, and cancer of the uterus, pancreas and liver.

CONCLUSIONS

Coexisting diabetes was associated with a higher mortality and risk of developing second primary cancer in Japanese patients with cancer and on drug therapy for diabetes.

A Comparative analysis of type 2 diabetes management quality indicators in cancer survivors

Objective

This study aimed to assess indicators of type 2 diabetes mellitus (DM) management, including adequate DM control, and treatment rates, in cancer survivors according to the time of DM diagnosis and to compare them with the DM management indicators of a non-cancer control group.

Methods

We used the 2013-2019 data of the Korea National Health and Nutrition Examination Survey for this study. To compare their adequate DM control, and treatment rates, we identified 4918 patients with type 2 DM aged ≥ 30 years and classified them into pre-existing diabetes, pre-existing cancer, and diabetes without cancer groups. Predictors of adequate glycemic control and diabetes treatment were analyzed using binary logistic regression.

Results

Diabetes without cancer group had higher fasting blood glucose and glycosylated hemoglobin A1c levels and lower adequate glycemic control than did the other two groups. The preexisting cancer group had low treatment rates. After adjusting for age, gender, employment status, and duration of diabetes, the preexisting cancer group had 0.51-fold lower odds of receiving treatment, such as insulin injection or oral diabetes medications, than the other two groups (adjusted odds ratio, 0.50; 95% confidence interval, 0.38-0.66).

Conclusions

Cancer survivors had lower fasting glucose and HbA1c than those with diabetes without cancer. However, as a result of the sub-analysis, the treatment rate of the pre-existing cancer group was significantly lower than that of diabetes without cancer. Based on these results, cancer survivors' care-related healthcare workers should be aware of the need for monitoring blood sugar even in cancer survivors without underlying diabetes mellitus and pay more attention to early detection and active treatment of diabetes.

Racial Disparities in Diabetes-Related Emergency Department Visits and Hospitalizations Among Cancer Survivors

PURPOSE

Black and Hispanic individuals with diabetes receive less recommended diabetes care after cancer diagnosis than non-Hispanic Whites (NHW). We sought to determine whether racial/ethnic minorities with diabetes and cancer were at increased risk of diabetes-related emergency department (ED) visits and hospitalizations compared with NHW.

METHODS

Using SEER cancer registry data linked to Medicare claims from 2006 to 2014, we included Medicare beneficiaries age 66+ years diagnosed with incident nonmetastatic breast, prostate, or colorectal cancer between 2007 and 2012 who had diabetes. Our primary outcome was any diabetes-related ED visit or hospitalization 366-731 days after cancer diagnosis. Using Fine-Gray subdistribution hazard models, we examined whether risk of ED visits or hospitalizations was higher for racial/ethnic minorities compared with NHW.

RESULTS

We included 40,059 beneficiaries with mean age 75.5 years (standard deviation 6.3), 45.6% were women, and 28.9% were non-White. Overall, 825 (2.1%) had an ED visit and 3,324 (8.3%) had a hospitalization related to diabetes in the 366-731 days after cancer diagnosis. Compared with NHW, Black individuals were more likely to have ED visits (2.9% v 2.0%; P < .0001) and hospitalizations (11.7% v 7.8%; P < .0001). Adjusting for potential confounders, Black (adjusted hazard ratio, 1.22; 95% CI, 1.12 to 1.35) individuals had a higher risk of any ED visit or hospitalization compared with NHW.

CONCLUSION

Black individuals with diabetes and cancer were at increased risk for diabetes-related ED visits and hospitalizations in the second year after cancer diagnosis compared with NHW even after accounting for confounders.

Identifying ways to improve diabetes management during cancer treatments (INDICATE): protocol for a qualitative interview study with patients and clinicians

INTRODUCTION

A large and growing number of patients with cancer have comorbid diabetes. Cancer and its treatment can adversely impact glycaemic management and control, and there is accumulating evidence that suboptimal glycaemic control during cancer treatment is a contributory driver of worse cancer-related outcomes in patients with comorbid diabetes. Little research has sought to understand, from the perspective of patients and clinicians, how and why different aspects of cancer care and diabetes care can complicate or facilitate each other, which is key to informing interventions to improve diabetes management during cancer treatments. This study aims to identify and elucidate barriers and enablers to effective diabetes management and control during cancer treatments, and potential intervention targets and strategies to address and harness these, respectively.

METHODS AND ANALYSIS

Qualitative interviews will be conducted with people with diabetes and comorbid cancer (n=30-40) and a range of clinicians (n=30-40) involved in caring for this patient group (eg, oncologists, diabetologists, specialist nurses, general practitioners). Semistructured interviews will examine participants' experiences of and perspectives on diabetes management and control during cancer treatments. Data will be analysed using framework analysis. Data collection and analysis will be informed by the Theoretical Domains Framework, and related Theory and Techniques Tool and Behaviour Change Wheel, to facilitate examination of a comprehensive range of barriers and enablers and support identification of pertinent and feasible intervention approaches. Study dates: January 2021-January 2023.

ETHICS AND DISSEMINATION

The study has approval from National Health Service (NHS) West Midlands-Edgbaston Research Ethics Committee. Findings will be presented to lay, clinical, academic and NHS and charity service-provider audiences via dissemination of written summaries and presentations, and published in peer-reviewed journals. Findings will be used to inform development and implementation of clinical, health services and patient-management intervention strategies to optimise diabetes management and control during cancer treatments.

Racial disparities in diabetes care among incident breast, prostate, and colorectal cancer survivors: a SEER Medicare study

BACKGROUND

Many cancer survivors with co-morbid diabetes receive less diabetes management than their non-cancer counterparts. We sought to determine if racial/ethnic disparities exist in recommended diabetes care within 12 months of an incident breast, prostate, or colorectal cancer diagnosis. Because co-morbid diabetes decreases long-term survival, identifying predictors of guideline-concordant diabetes care is important.

METHODS

Using the Surveillance, Epidemiology, and End Results cancer registry linked to Medicare claims, we included beneficiaries aged 67+ years with diabetes and incident, non-metastatic breast, prostate, or colorectal cancer between 2008 and 2013. Primary outcomes were diabetes care services 12 months after diagnosis: (1) HbA1c test, (2) eye exam, and (3) low-density lipoprotein (LDL) test. Using modified Poisson models with robust standard errors, we examined each outcome separately.

RESULTS

We included 34,643 Medicare beneficiaries with both diabetes and cancer. Mean age at diagnosis was 76.1 (SD 6.2), 47.2% were women; 35% had breast, 24% colorectal, and 41% prostate cancer. In the 12 months after incident cancer diagnosis, 82.4% received an HbA1c test, 55.3% received an eye exam, 77.8% had an LDL test, and 42.0% received all three tests. Compared to non-Hispanic Whites, Blacks were 3% (95% CI 0.95-0.98) less likely to receive a HbA1c test, 10% (95% CI 0.89-0.92) less likely to receive a LDL test, and 8% (95% 0.89-0.95) less likely to receive an exam eye. Blacks and Hispanics were 16% (95% CI 0.81-0.88) and 7% (0.88-0.98) less likely to receive all three tests, after accounting for confounders. Racial/ethnic differences persisted across cancer types.

CONCLUSION

Blacks and Hispanics with breast, prostate, and colorectal cancer and diabetes received less diabetes care after cancer diagnosis compared to non-Hispanic Whites. Differences were not explained by socio-economic factors or clinical need.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings are concerning given the high prevalence of diabetes and poor cancer outcomes among racial/ethnic minorities. The next step in this line of inquiry is to determine why minorities are less likely to receive comprehensive diabetes care in order to develop targeted strategies to increase receipt of appropriate diabetes management for these vulnerable populations.

Metastatic colorectal cancer and type 2 diabetes: prognostic and genetic interactions

The present study was undertaken to analyze prognostic and genetic interactions between type 2 diabetes and metastatic colorectal cancer. Patients' survival was depicted through the Kaplan-Meier product limit method. Prognostic factors were examined through the Cox proportional-hazards regression model, and associations between diabetes and clinical-pathologic variables were evaluated by the χ2 test. In total, 203 metastatic colorectal cancer patients were enrolled. Lymph nodes (P = 0.0004) and distant organs (> 2 distant sites, P = 0.0451) were more frequently involved in diabetic patients compared with those without diabetes. Diabetes had an independent statistically significant negative prognostic value for survival. Highly selected patients with cancer and/or diabetes as their only illness(es) were divided into three groups: (a) seven oligo-metastatic patients without diabetes, (b) 10 poly-metastatic patients without diabetes, and (c) 12 poly-metastatic diabetic patients. These groups of patients were genetically characterized through the Illumina NovaSeq 6000 (San Diego, CA, USA) platform and TruSigt™Oncology 500 kit, focusing on genes involved in diabetes and colorectal cancer. Gene variants associated with diabetes and cancer were more frequent in patients in group 3. We found that type 2 diabetes is a negative prognostic factor for survival in colorectal cancer. Diabetes-associated gene variants could concur with malignancy, providing a rational basis for innovative models of tumor progression and therapy.

Glycemic Control for Colorectal Cancer Survivors Compared to Those without Cancer in the Dutch Primary Care for Type 2 Diabetes: A Prospective Cohort Study

Simple Summary

A growing number of colorectal cancer survivors live with type 2 diabetes, as a result of improved cancer diagnosis and treatment. These patients might have worse glycemic control after their cancer diagnosis, which may increase the risk of cardiovascular diseases. This prospective cohort study evaluated the quality of glycemic control for colorectal cancer survivors, as compared to those without cancer in Dutch primary care for diabetes. During a 10-year follow-up for 57,330 patients, there were 705 patients diagnosed with colorectal cancer. No clinically relevant difference on the probability of reaching the target HbA1c was observed between colorectal cancer survivors and patients with no history of cancer. These results showed a robust diabetes care system, implying that the glycemic control for colorectal cancer survivors can be delegated to the primary care professionals.

Abstract

Cancer survivors with diabetes tend to have worse glycemic control after their cancer diagnosis, which may increase the risk of cardiovascular diseases. We aimed to investigate whether glycemic control differs between colorectal cancer (CRC) survivors and those without cancer, among patients with type 2 diabetes being treated in the Dutch primary care. The Zwolle Outpatient Diabetes project Integrating Available Care database was linked with the Dutch Cancer Registry (n = 71,648, 1998–2014). The cases were those with stage 0–III CRC, and the controls were those without cancer history. The primary and secondary outcomes were the probability of reaching the glycated hemoglobin (HbA1c) target and the mean of HbA1c during follow-up, respectively. Mixed linear modeling was applied, where the status of CRC was a time-varying variable. Among the 57,330 patients included, 705 developed CRC during follow-up. The mean probability of reaching the HbA1c target during follow-up was 73% versus 74% (p = 0.157) for CRC survivors versus those without cancer, respectively. The mean HbA1c was 51.1 versus 50.8 mmol/mol (p = 0.045) among CRC survivors versus those without cancer, respectively. We observed a clinically comparable glycemic control among the CRC survivors without cancer, indicating that glycemic control for CRC survivors can be delegated to primary care professionals.

The quality of diabetes care among cancer survivors: a retrospective cohort study

BACKGROUND

As cancer survivorship continues to improve, management of co-morbid diabetes has become an increasingly important determinant of health outcomes for people with cancer. This study aimed to compare indicators of diabetes quality of care between people with diabetes and without a history of cancer.

METHODS

We used the Electronic Medical Record Administrative data Linked Database (EMRALD), a database of Ontario primary care EMR charts linked to administrative data, to identify people with diabetes and at least 1 year follow-up. Persons with a history of cancer were matched 1:2 on age, sex and diabetes duration to those without cancer. We compared recommended diabetes quality of care indicators between persons with and without cancer using a matched cohort analysis.

RESULTS

Among 229,627 people with diabetes, we identified 2275 people with cancer and 4550 matched controls; 86.5% had diabetes diagnosed after cancer. Compared to controls, cancer people with diabetes were significantly less likely to receive ACE inhibitors or angiotensin receptor blockers (OR 0.75 [95% CI 0.64-0.89]), receive statin therapy if age 50-80 years (OR 0.79 [95% CI 0.68-0.92]) and achieve an LDL cholesterol level <2.0 mmol/L (OR 0.82 [95% CI 0.74-0.91]). There were no differences in recommended clinical testing or achieving A1C and blood pressure targets between groups.

CONCLUSION

Cancer survivors with diabetes are less likely to receive recommended cardiovascular risk-reducing therapies compared to people with diabetes without cancer of similar age, sex and diabetes duration. Further studies are warranted to determine if these associations are linked to worse survival, cardiovascular outcomes and quality of life.

Eliciting primary care and oncology provider perspectives on diabetes management during active cancer treatment

PURPOSE

We sought to elicit the perspectives of primary care providers (PCPs) and oncologists regarding their expectations on who should be responsible for diabetes management, as well as communication mode and frequency about diabetes care during cancer treatment.

METHODS

In-depth interviews were conducted with PCPs (physicians and nurse practitioners) and oncologists who treat cancer patients with type 2 diabetes. Interviews were audio-recorded and professionally transcribed. A grounded theory approach was used to analyze the qualitative data and identify key themes.

RESULTS

Ten PCPs and ten oncologists were interviewed between March and July 2019. Two broad themes emerged from our interviews with PCPs: (1) cancer patients pausing primary care during cancer treatments, and (2) patients with poorer prognoses and advanced cancer. The following theme emerged from our interviews with oncologists: (3) challenges in caring for cancer patients with uncontrolled diabetes. Three common themes emerged from our interviews with both PCPs and oncologists: (4) discomfort with providing care outside of respective specialty, (5) the need to individualize care plans, and (6) lack of communication across primary and oncology care.

CONCLUSIONS

Our findings suggest that substantial barriers to optimal diabetes management during cancer care exist at the provider level. Interventions prioritizing effective communication and educational resources among PCPs, oncologists, and additional members of the patients' care team should be prioritized to achieve optimal outcomes.

Efficacy of ribavirin and interferon-α therapy for hospitalized patients with COVID-19: A multicenter, retrospective cohort study

OBJECTIVE

To assess the efficacy and safety of ribavirin and interferon-α (RBV/IFN-α) therapy in COVID-19 patients.

METHODS

A multicenter, retrospective cohort study of COVID-19 patients admitted to 4 hospitals in Hubei Province, China, from 31 December 2019 to 31 March 2020. Patients were divided into 2 groups according to their exposure to RBV/IFN-α therapy within 48 h of admission. Mixed-effect Cox model and Logistic regression were used to explore the association between early treatments of RBV/IFN-α and primary outcomes.

RESULTS

Of 2037 patients included, 1281 received RBV/IFN-α (RBV, IFN-α or RBV combined with IFN-α) treatments and 756 received none of these treatments. In a mixed effect model, RBV/IFN-α therapy was not associated with progression from non-severe into severe type (adjusted hazard ratio (aHR) = 1.09, 95% CI: 0.88-1.36) or with reduction in 30-day mortality (aHR = 0.89, 95% CI: 0.61-1.30). However, it was associated with a higher probability of hospital stay >15 days (adjusted odds ratio (aOR) = 2.11, 95% CI: 1.68-2.64) compared with no RBV/IFN-α therapy. The propensity score-matched cohort and subgroup analysis displayed similar results.

CONCLUSION

RBV/IFN-α therapy was not observed to improve clinical outcomes in COVID-19 patients suggesting that RBV/IFN-α therapy should be avoided in COVID-19 treatment.

Patterns of chronic disease management and health outcomes in a population-based cohort of Black women with breast cancer

PURPOSE

Diabetes and hypertension are two common comorbidities that affect breast cancer patients, particularly Black women. Disruption of chronic disease management during cancer treatment has been speculated. Therefore, this study examined the implementation of clinical practice guidelines and health outcomes for these comorbidities before and during cancer treatment.

METHODS

We used a population-based, prospective cohort of Black women diagnosed with breast cancer (2012-2016) in New Jersey (n = 563). Chronic disease management for diabetes and hypertension was examined 12 months before and after breast cancer diagnosis and compared using McNemar's test for matched paired and paired t tests.

RESULTS

Among this cohort, 18.1% had a co-diagnosis of diabetes and 47.2% had a co-diagnosis of hypertension. Implementation of clinical practice guidelines and health outcomes that differed in the 12 months before and after cancer diagnosis included lipid screening (64.5% before versus 50.0% after diagnosis; p = 0.004), glucose screening (72.7% versus 90.7%; p < 0.001), and blood pressure control < 140/90 mmHg (57.6% versus 71.5%; p = 0.004) among patients with hypertension-only. For patients with diabetes, eye and foot care were low (< 35%) and optimal HbA1c < 8.0% was achieved for less than 50% of patients in both time periods.

CONCLUSION

Chronic disease management continued during cancer treatment; however, eye and foot exams for patients with diabetes and lipid screening for patients with hypertension-only were inadequate. Given that comorbidities may account for half of the Black-White breast cancer survival disparity, strategies are needed to improve chronic disease management during cancer, especially for Black women who bear a disproportionate burden of chronic diseases.

The Characteristics and Mortality of Osteoporosis, Osteomyelitis, or Rheumatoid Arthritis in the Diabetes Population: A Retrospective Study

BACKGROUND

Patients with diabetes mellitus are prone to develop osteoporosis, osteomyelitis, or rheumatoid arthritis (RA). Furthermore, the presence of these complications in those with diabetes may lead to higher mortality. The aim of our study was to assess characteristics and mortality of osteoporosis, osteomyelitis, or rheumatoid arthritis in individuals with diabetes.

METHODS

We analyzed osteoporosis, osteomyelitis, and RA deaths associated with diabetes from 1999-2017 using the CDC WONDER system (CDC WONDER; https://wonder.cdc.gov). We used ICD-10 codes to categorize the underlying and contributing causes of death. Crude mortality rates (CMR) and age-adjusted mortality rates (AAMR) per 1,000,000 person-years were calculated.

RESULTS

The AAMR for osteoporosis in the population with diabetes was significantly higher in females (AAMR: 4.17, 95% CI: 4.10-4.24) than in males (AAMR: 1.12, 95% CI: 1.07-1.16). Deaths due to osteoporosis increased gradually from 1999, peaked in 2003 (AAMR: 3.78, 95% CI: 3.55-4.00), and reached a nadir in 2016 (AAMR: 2.32, 95% CI: 2.15-2.48). The AAMR for RA associated with diabetes was slightly higher in females (AAMR: 4.04, 95% CI: 3.98-4.11) than in males (AAMR: 2.45, 95% CI: 2.39-2.51). The mortality rate due to RA increased slightly from 1999 (AAMR: 3.18, 95% CI: 2.97-3.39) to 2017 (AAMR: 3.20, 95% CI: 3.02-3.38). The AAMR for osteomyelitis associated with diabetes was higher in males (AAMR: 4.36, 95% CI: 4.28-4.44) than in females (AAMR: 2.31, 95% CI: 2.26-2.36). From 1999 to 2017, the AAMR from osteomyelitis in this population was 2.63 (95% CI: 2.44-2.82) per 1,000,000 person-years in 1999 and 4.25 (95% CI: 4.05-4.46) per 1,000,000 person-years in 2017.

CONCLUSIONS

We found an increase in the age-adjusted mortality rates of RA and osteomyelitis and a decrease of osteoporosis associated with diabetes from 1999 to 2017. We suggest that increased attention should therefore be given to these diseases in the population with diabetes, especially in efforts to develop preventative and treatment strategies.

Diabetic mortality risk among cancer patients in the United State SEER population, 1975-2016

BACKGROUND

The focus on diabetic mortality in cancer patients remains superficial. The objective of our study is to identify cancer patients with the highest risk of diabetic mortality compared with other cancer patients and the general US population.

METHODS

The representative data of cancer patients dying from diabetes between 1975 and 2016 was retrieved from the Surveillance, Epidemiology, and End Results program. Standardized mortality ratios (SMRs) and excess risks for multiple cancer sites were calculated. Cox regression analysis was performed to identify potential risk factors of death from diabetes.

RESULTS

Among 9,043,788 cancer patients diagnosed between 1975 and 2016, 51,611 patients died from diabetes. the SMR of diabetic death was 2.15 compared with the general population. Malignancies of pancreas, liver, and brain had the highest SMR (>15) compared with the general population. The risk of death from diabetes was increasing in more recent years. The majority of deaths from diabetes occurred in those >45 years of age diagnosed with prostate, breast, colorectum, lung, or bladder cancer. Patients with older age, male sex, black race, higher histologic grade, unmarried status, and not undergoing surgery are at higher risk compared with other cancer survivors.

CONCLUSIONS

Compared to the general population, cancer patients are at elevated risk of death from diabetes throughout the follow-up period. Elderly, black, unmarried males with distant metastases and without receiving surgery are recommended with earlier detection and more efficient diabetic care, especially for those with prostate, breast, colorectum, lung, or bladder cancer.

Healthcare fragmentation and cardiovascular risk control among older cancer survivors in the Reasons for Geographic And Racial Differences in Stroke (REGARDS) study

Purpose:

Cardiovascular disease (CVD) is the number one cause of death among 5-year cancer survivors. Survivors see many providers and poor coordination may contribute to worse CVD risk factor control. We sought to determine associations between fragmentation and CVD risk factor control among survivors overall and by self-rated health.

Methods:

We included REGARDS participants aged 66+ years who: 1) had a cancer history; 2) reported diabetes, hypertension or hyperlipidemia; and 3) had continuous Medicare coverage. Twelve month ambulatory care fragmentation was calculated using the Bice-Boxerman Index (BBI). We determined associations between fragmentation and CVD risk factors, defining “control” as fasting glucose <126 mg/dL or non-fasting glucose <200 mg/dL for diabetes; blood pressure <140/90 mm Hg for hypertension; and total cholesterol <240 mg/dL, low-density lipoprotein cholesterol <160 mg/dL, or high-density lipoprotein cholesterol >40 mg/dL for hyperlipidemia.

Results:

The 1,002 cancer survivors (2+ years since cancer treatment) had mean age of 75 years, 39% were women, and 23% were Black. Among individuals with diabetes (N=225), hypertension (N=660), and hyperlipidemia (N=516), separately, approximately 60% had CVD risk factor control. Overall, more fragmented care was not associated with worse control. However, among cancer survivors with excellent, very good or good health, more fragmentation was associated with a decreased likelihood of diabetes control (OR 0.78, 95% CI 0.61–0.99), adjusting for confounders.

Conclusions:

More fragmented care was associated with worse glycemic control among cancer survivors with diabetes who reported excellent, very good, or good health. Associations were not observed for control of hypertension or hyperlipidemia.

Implications for cancer survivors:

Reducing fragmentation may support glucose control among survivors with diabetes.

Type 2 diabetes and cancer: problems and suggestions for best patient management

Diabetes and cancer are widespread worldwide and the number of subjects presenting both diseases increased over the years. The management of cancer patients having diabetes represents a challenge not only because of the complexity and heterogeneity of these pathologies but also for the lack of standardised clinical guidelines. The diagnosis of cancer is traumatizing and monopolizes the attention of both patients and caregivers. Thus, pre-existent or new-onset diabetes can be overshadowed thus increasing the risk for short- and long-term adverse events. Moreover, drugs used for each disease can interfere with the clinical course of the concomitant disease, making challenging the management of these patients. Over the years, this issue has become more relevant because of the increased patients’ life expectancy due to the improved efficacy of diabetes and cancer therapies. The purpose of this review is to highlight what is known and what should be taken into consideration to optimise the clinical management of patients with diabetes and cancer. Due to the complexity of these diseases, a multidisciplinary, shared approach, including all the protagonists involved, is necessary to improve patients’ quality of life and lifespan.